By Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales
Multi-agent platforms are some of the most interesting learn parts in man made Intelligence. This ebook studies at the effects accomplished during this region, discusses the advantages (and drawbacks) that agent-based platforms could convey to scientific domain names and society, and likewise presents a listing of the learn issues that are supposed to be tackled within the close to destiny to make the deployment of health-care agent-based structures a truth. present subject matters of study contain communique and co-operation among dispensed clever brokers to regulate sufferer care.
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Additional resources for Agent Technology and e-Health (Whitestein Series in Software Agent Technologies and Autonomic Computing)
Remote monitoring systems typically collect these patient readings and then transmit them to a remote server for storage and later examination by healthcare professionals. Once available on the server, the readings can be used in numerous ways by home health agencies, by clinicians, by physicians, and by informal care providers. However remote healthcare monitoring systems will be exploited to their full potential when the analysis is also performed automatically through clinical decision support systems fed by expert knowledge.
Provenance enables users to trace how a particular result has been arrived at by identifying the individual and aggregated services that produced a particular output. In this chapter we present the main results of the EU PROVENANCE project and how these can be valuable in agent-mediated healthcare applications. For the latter we describe the Organ Transplant Management Application (OTMA), one of the demonstrator applications developed. Keywords. Provenance, software agents, healthcare. 1. Introduction The importance of understanding the process by which a result was generated is fundamental to many real-life applications in science, engineering, medical domain, supply management, etc.
Olduz et al. Registry/Repository architecture. The EHR agent is capable of communicating with IHE XDS Registry/Repository to retrieve the EHR documents. • Ontology Agent : The SAPHIRE architecture is capable of reconciliation of semantic interoperability problems while accessing the resources of healthcare institutes. In the SAPHIRE in the guideline deﬁnition, patient data references are modelled in a reference information model based on HL7 RIM. It is possible that the medical Web services, the sensor data, and the EHR documents use diﬀerent reference information models, and clinical terminologies.